Analysis of the Causes of Traffic Accidents and Identification of Accident-Prone Points in Long Downhill Tunnel of Mountain Expressways Based on Data Mining

Abstract

China has a large vehicle base, uneven road conditions, and the highest rate of traffic accidents in the world. Particularly on the long downhill sections of expressway tunnels in mountainous areas with harsh geographical conditions, traffic accidents are densely distributed, and once a traffic accident occurs, the consequences are serious, which poses a large threat to people’s lives and property. This paper mined and analyzed the traffic accident data collected by the project on the Baoding section of Zhangshi Expressway. SPSS software was used to analyze the traffic accident data characteristics of the long downhill tunnel of the mountain expressways. The time, space, accident form, vehicle type, and road alignment distribution characteristics of the traffic accident in the long downhill tunnel section of mountain expressways were obtained. The decision tree algorithm was used to construct the cause analysis model of traffic accidents in the long downhill tunnel of mountain expressways, and the five primary influencing factors were obtained: horizontal curve radius, week, slope length, time, and cart ratio. The improved cumulative frequency curve method was used to study the accident-prone points of mountain expressways, and the accident-prone points and potential accident-prone points were obtained.

Comprehensive Evaluation of Resilience for Qinling Tunnel Group Operation Safety System Based on Combined Weighting and Cloud Model

“…This group includes tunnels referred to as Qinling I, II, and III, which are known for their remarkable length. The Qinling Tunnel Group exhibits distinctive features, such as a large number of tunnels, short connecting sections at tunnel entrances, and a continuous arrangement of tunnels [4,26,27].…”

“…This group includes tunnel referred to as Qinling I, II, and III, which are known for their remarkable length. Th Qinling Tunnel Group exhibits distinctive features, such as a large number of tunnels short connecting sections at tunnel entrances, and a continuous arrangement of tunnel [4,26,27]. The sample data for this study were obtained through surveys conducted by th traffic police department and transportation management department of Shaanxi Prov ince.…”

“…Pervez et al [3] identified the most accidentprone zones in long, medium, and short tunnels (the mid-zone, entrance zone, and access zone, respectively), considering tunnel length and the entrance and exit zones as factors. Wang et al [4] determined the time, space, accident form, vehicle type, and road alignment distribution characteristics of traffic accidents in the long downhill tunnel sections of mountain expressways. Li Shun et al [5] conducted an empirical analysis on road/tunnel design, traffic volume, and environmental factors.…”

Statistical Analysis of Accident Patterns and The Causes at A State Road in Perlis

“…A significant number of studies on traffic safety have emphasised that traffic accidents must be based on prevention. Traffic accidents and their contributing aspects vary in perspectives and methodologies, including socio-economic status, engineering technologies and regulations and policies [22]- [24]. Often, the approach to implementing the rules and regulations available to prevent road accidents is ineffective, half-hearted and not completely successful at the desired level.…”